Investigating bimodal clustering in human mobility

Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009

Volumn 4, Issue , 2009, Pages 944-947

  Bagrow, James P ^a   Koren, Tal ^a  

^a NORTHEASTERN UNIVERSITY   (United States)

Author keywords

Clustering; Human mobility; Mobile phones

Indexed keywords

CELLULAR TELECOMMUNICATION; CLUSTERING; DATA SETS; HUMAN MOBILITY; MOBILE-PHONE USERS; SPATIAL DISPERSION;

COMPUTER SCIENCE; MOBILE DEVICES; MOBILE PHONES; TELEPHONE; TELEPHONE SETS;

CLUSTERING ALGORITHMS;

EID: 70849134350     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSE.2009.283     Document Type: Conference Paper

References (24)

1. D. Brockmann, L. Hunagel and T. Geisel. The scaling laws of human travel. Nature vol.439 no.7075 pp. 462-465 January 2006.
2. M. C. Gonźalez, C. A. Hidalgo and A.-L. Barab́asi. Understanding individual human mobility patterns. Nature vol.453 no.7196 pp. 779-782 June 2008.
3. G. M. Viswanathan, S. V. Buldyrev, S. Havlin, M. G. E. da Luz, E. P. Raposo and H. E. Stanley. Optimizing the success of random searches. Nature vol.401 no.6756 pp. 911- 914 October 1999.
4. D. W. Sims et al. Scaling laws of marine predator search behaviour. Nature vol.451 no.7182 pp. 1098-1103 February 2008.
5. O. B́enichou, M. Coppey, M. Moreau, P.-H. Suet and R. Voituriez. Optimal search strategies for hidden targets. Phys. Rev. Lett vol.94 issue 19 pp. 198101 (4 pages) May, 2005.
6. O. B́enichou, M. Coppey, M. Moreau and R. Voituriez. Intermittent search strategies: When losing time becomes efficient. Europhys. Lett. vol.75, no.2, pp. 349-354, July. 2006.
7. I. Rhee, M. Shin, S. Hong, K. Lee and S. Chong. On the Ĺevywalk nature of human mobility. in Proceedings of INFOCOM, Arizona, USA, April 2008.
8. M. A Lomholt, T. Koren, R. Metzler and J. Klafter. Lévy strategies in intermittent search processes are advantageous. Proc. Natl. Acad. Sci. USA vol.105, no.32 pp. 11055- 11059, August 2008.
9. D. Brockmann and F. Theis. Money Circulation, trackable items, and the emergence of universal human mobility patterns. Pervasive Computing vol.7 no.4 pp.28-35, October 2008.
10. F. Giannotti and D. Fedreschi (Eds.). Mobility, Data Mining and Privacy. Springer-Verlag Berlin Heidelberg, 2008.
11. K. Lee, S. Hong, S. J. Kim, I. Rhee and S. Chong. SLAW: A mobility model for human walks. in Proceedings of INFOCOM, Rio de Janeiro, Brazil, April 2009.
12. D. Brockmann. Human mobility and spatial disease dynamics. in Review of Nonlinear Dynamics and Complexity, H. G. Schuster (Ed.) Wiley-VCH, 2009.
13. A. Bhattacharya and S. K. Das. LeZi-Update an informationtheoretic framework for personal mobility tracking in PCS networks, Wireless Network vol. 8, no. 2/3 pp. 121-135, March- May 2002.
14. M. Kim, D. Kotz and S. Kim. Extracting a mobility model from real user traces. in Proceedings of INFOCOM, Barcelona, Spain, April 2006.
15. A. L. Lloyd and R.M. May. How viruses spread among computers and people, Science vol.292 no.5520 pp. 1316- 1317, May 2001.
16. J. Kleinberg. The wireless epidemic. Nature, vol.449 no.7160 pp. 287-288, September 2007.
17. P. Wang, M. C. González, C. A. Hidalgo and A.-L. Barabási. Understanding the spreading patterns of mobile phone viruses. Science vol.324 no.5930 pp. 1071-1076 May 2009.
18. J. Klafter, M. F. Shlesinger and G. Zumofen. Beyond Brownian motion. Physics Today vol.49 issue 2 pp. 33-39 February 1996.
19. A. V. Chechkin, R. Metzler, V. Yu. Gonchar and J. Klafter. Introduction to the theory of Ĺevy flights. in Anomalous Transport: Foundations and Applications edited by R. Klages, I. M. Sokolov and G. Radons, Wiley-VCH, 2008.
20. C. T. Brown, L. S. Liebovitch, and R. Glendon. Ĺevy flights in dobe ju/hoansi foraging patterns. Human Ecology, vol.35, no.1, pp. 129-138, Feb. 2007. [Online]. Available: http://dx.doi.org/10.1007/s10745-006-9083-4
21. B. Jiang, J. Yin, and S. Zhao. Characterizing human mobility patterns over a large street network. [Online]. Available: http://arxiv.org/abs/0809. 5001?context=physics. Sept. 2008.
22. J. MacQueen. Some methods for classification and analysis of multivariate observations. Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability, University of California Press pp. 281-297 1967.
23. G. Gan, C. Ma and J. Wu. Data Clustering: Theory, Algorithms and Applications. ASA-SIAM Series on Statistics and Applied Probability. SIAM, Philadelphia, ASA, Alexandria VA, 2007.
24. P. J. Rousseeuw. Silhouettes: a Graphical Aid to the Interpretation and Validation of Cluster Analysis. Computational and Applied Mathematics vol.20 issue 1 pp. 53-65, November 1987.